Amin Emad

Amin Emad

McGill University

H-index: 12

North America-Canada

About Amin Emad

Amin Emad, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at McGill University, specializes in the field of Machine Learning, Bioinformatics, Network Biology, Cancer Precision Medicine, Systems Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Studying How Aging Related Macrophage Changes in Transcriptional Regulatory Networks Drive Pulmonary Fibrosis

INTREPPPID-An Orthologue-Informed Quintuplet Network for Cross-Species Prediction of Protein-Protein Interaction

Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19)

GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks

Preclinical-to-clinical anti-cancer drug response prediction and biomarker identification using TINDL

A Network-guided Analysis of P. Aeruginosa-infected Bronchial Epithelial Cells Reveals Putative Regulators of Viral-mediated Pulmonary Exacerbations

MARSY: a multitask deep-learning framework for prediction of drug combination synergy scores

Analysis of gene expression and use of connectivity mapping to identify drugs for treatment of human glomerulopathies

Amin Emad Information

University

Position

Assistant Professor

Citations(all)

538

Citations(since 2020)

398

Cited By

288

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Amin Emad Skills & Research Interests

Machine Learning

Bioinformatics

Network Biology

Cancer Precision Medicine

Systems Biology

Top articles of Amin Emad

Studying How Aging Related Macrophage Changes in Transcriptional Regulatory Networks Drive Pulmonary Fibrosis

2024/5

INTREPPPID-An Orthologue-Informed Quintuplet Network for Cross-Species Prediction of Protein-Protein Interaction

bioRxiv

2024

Joseph Szymborski
Joseph Szymborski

H-Index: 2

Amin Emad
Amin Emad

H-Index: 9

Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19)

Clinical Proteomics

2023/12

GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks

bioRxiv

2023/7/27

Amin Emad
Amin Emad

H-Index: 9

Preclinical-to-clinical anti-cancer drug response prediction and biomarker identification using TINDL

Genomics, Proteomics & Bioinformatics

2023/6

A Network-guided Analysis of P. Aeruginosa-infected Bronchial Epithelial Cells Reveals Putative Regulators of Viral-mediated Pulmonary Exacerbations

2023/5

MARSY: a multitask deep-learning framework for prediction of drug combination synergy scores

Bioinformatics

2023/4

Safyan Aman Memon
Safyan Aman Memon

H-Index: 1

Amin Emad
Amin Emad

H-Index: 9

Analysis of gene expression and use of connectivity mapping to identify drugs for treatment of human glomerulopathies

Frontiers in Medicine

2023/3/13

Ameya Bhope
Ameya Bhope

H-Index: 1

Amin Emad
Amin Emad

H-Index: 9

Molecular pathology of acute respiratory distress syndrome, mechanical ventilation and abnormal coagulation in severe COVID-19

medRxiv

2023/3/10

A circulating proteome-informed prognostic model of COVID-19 disease activity that relies on routinely available clinical laboratories

2022/11/4

Circulating proteome of hospitalized patients uncovers six endophenotypes of COVID-19 and points to FGFR and SHC4-signaling in acute respiratory distress syndrome

medRxiv

2022/11/4

Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

Bioinformatics

2023/6/1

RAPPPID: towards generalizable protein interaction prediction with AWD-LSTM twin networks

Bioinformatics

2022/8/15

Joseph Szymborski
Joseph Szymborski

H-Index: 2

Amin Emad
Amin Emad

H-Index: 9

Looking at the BiG picture: incorporating bipartite graphs in drug response prediction

Bioinformatics

2022/7/15

Elucidating Transcriptional Networks Driving Idiopathic Pulmonary Fibrosis

2022/5

Unsupervised clustering of SARS-CoV-2 positive hospitalized patients identifies six endophenotypes of COVID-19 and points to FGFR and SHC4-signaling in acute respiratory …

2022

Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2

Cancer Research

2022/6/15

A deep learning framework for prediction of clinical drug response of cancer patients and identification of drug sensitivity biomarkers using preclinical samples

biorxiv

2021/7/7

A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19

PLoS Computational Biology

2021/3/8

Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study

NPJ systems biology and applications

2021/2/8

Amin Emad
Amin Emad

H-Index: 9

Saurabh Sinha
Saurabh Sinha

H-Index: 32

See List of Professors in Amin Emad University(McGill University)

Co-Authors

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